Exploiting the Data Code: Duality Applying Modern Software Development Practices to Data with Dali
Carl Steinbach, Senior Staff Software Engineer, LinkedIn
The ML data engineering conference presented by 
apply() Session + Video Archive
Towards Reproducible Machine Learning
David Aronchick, Partner, Program Manager, Microsoft
Bringing Feast 0.10 to AWS
Stepan Pushkarev, CTO, Provectus
Scaling a Machine Learning Social Feed with Feature Pipelines
Ettie Eyre, Platform Engineering Lead, Cookpad
Nadine Sarraf, Machine Learning Engineer, Cookpad
Programmatic Supervision for Software 2.0
Alex Ratner, Co-Founder & CEO, Snorkel AI
Building a Feature Store to Reduce the Time to Production of ML Models
Emiliano Martin, Sr. Software Engineer, Mercado Libre
Feature Stores at Spotify: Building & Scaling a Centralized Platform
Aman Khan, Product Manager, Spotify
Rethinking Feature Stores with Feast and Tecton
Mike Del Balso, CEO & Co-founder, Tecton
Willem Pienaar, Feast Committer and Tech Lead, Tecton
Tying the Room Together: Apache Arrow and the Next Generation of Data Analytics Systems
Wes McKinney, CEO & Founder, Ursa Computing
Machine Learning is Going Real-Time
Chip Huyen, Co-Founder & CEO, Claypot AI
Scaling Online ML Predictions to Meet DoorDash Logistics Engine and Marketplace Growth
Hien Luu, Sr. Engineering Manager, DoorDash
Arbaz Khan, Machine Learning Platform Engineer, DoorDash
Third Generation Production ML Architectures: Lessons from History, Experiences with Ray
Dr. Waleed Kadous, Head of Engineering, Anyscale
Supercharging our Data Scientists’ Productivity at Netflix
Jan Forjanczyk, Senior Data Scientist, Netflix
Ravi Kiran Chirravuri, Software Engineer, Netflix
Data Observability: The Next Frontier of Data Engineering
Barr Moses, CEO & Co-Founder, Monte Carlo
Hamilton: a Micro Framework for Creating Dataframes
Stefan Krawczyk, Manager Data Platform, Stitch Fix
Tackling Fraud with Tecton
Matt Bleifer, Group Product Manager, Tecton
Redis as an Online Feature Store
Taimur Rashid, Chief Business Development Officer, Redis Labs
Evolution and Unification of Pinterest ML Platform
David Liu, Head of ML & Signal Platforms, Pinterest
MLOps Done Right with Centralized Model Performance Management Powered by XAI
Krishna Gade, Co-Founder and CEO, Fiddler
Feature Stores at Tide
Hendrik Brackmann, Director of Data Science and Analytics, Tide
